Technical lead - JavaScript, React.js, Java

Job Summary

Role : Senior AI Engineers - Agentic Development & AI-Augmented Engineering

TEX : 8 Years

REX : 6 Years

About the Role

We're looking for a Staff Software Engineer who can define and scale how our engineering organization builds software with AI agents.  This role requires deep fluency in "loop engineering" with tools like Claude Code: designing the feedback loops, guardrails, and workflows that let AI agents safely and effectively contribute to production codebases.  You'll need to understand the full agentic software development lifecycle, from context design through evaluation, deployment, and observability, while also being a hands-on expert across our core stack.

 This is a staff-level role: you'll set technical direction, define best practices for agentic development across teams, and remain deeply hands-on in architecture and code.

Key Responsibilities

Responsibilities

• Design and implement "loop engineering" workflows using Claude Code and similar tools, defining how agents plan, execute, test, and iterate on code changes
• Architect Model Context Protocol (MCP) servers and tool schemas that are legible and safe for LLM agents to use
• Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies for agent-driven changes
• Build evaluation harnesses and observability practices to measure agent output quality and catch regressions
• Design and review microservice and microfrontend architecture using C4 diagrams and Domain-Driven Design principles
• Drive test-driven development practices across teams, including contract testing between services
• Own technical decisions across our Java microservices, Node.js services, React/microfrontend UI, and Python tooling
• Design REST APIs and headless component architectures that support both human developers and AI agents
• Establish CI/CD practices that safely incorporate agent-authored pull requests
• Set and enforce security practices for agentic workflows, including prompt injection risk and tool-permission boundaries
• Mentor senior and staff engineers on effective agent-assisted development
• Write RFCs and design docs that translate ambiguous problems into actionable technical plans, documents that both humans and agents can act on

Skill Requirements

Required Skills & Experience

Agentic Development

• Hands-on experience with Claude Code or comparable agentic coding tools in production settings
• Strong understanding of MCP (Model Context Protocol) building and consuming MCP servers
• Context engineering: managing context windows, prompt caching, and information architecture for long-running agent sessions
• Awareness of prompt injection and agent-specific security risks

Architecture & Backend

• Deep experience with Java microservices
• Strong REST API design skills
• C4 model architecture documentation and system design
• Domain-Driven Design principles
• Node.js and Python for tooling, services, and automation
• MongoDB schema design, performance, and scaling

Frontend

• ReactJS, headless component architecture, and microfrontend design patterns

Testing & Quality

• Test-driven development (TDD) as a core practice, not an afterthought
• Playwright for end-to-end testing
• Contract testing (e.g., Pact) across microservice boundaries

Cloud & Platform

• AWS (compute, storage, networking, IAM at minimum — specific services per team stack)
• CI/CD pipeline design, including safe patterns for agent-generated code changes
• New Relic for application observability and performance monitoring

LLM & AI Systems

• Solid understanding of how LLMs work capabilities, limitations, failure modes
• Experience with agent orchestration patterns (subagents, delegation, multi-step planning)

Staff-Level Expectations

• Ability to write clear, actionable RFCs and technical design docs
• Track record of cross-team technical influence without direct reporting authority
• Experience mentoring engineers, including on how to work effectively with AI-assisted development tools
• Comfortable setting technical policy and standards that other teams adopt

Nice to Have

• Experience with event-driven architecture (Kafka, SQS/SNS)
• GraphQL or gRPC experience
• Prior experience building internal developer tools or platforms
• Contributions to open-source MCP servers or agentic tooling

Other Requirements